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Data storage strategy

• Readers explored data storage options, challenges in 2019

  In 2019, SearchStorage readers satisfied their curiosity about blockchain storage, decided between hybrid and multi-cloud, and took a deep dive into understanding NVMe technology. Continue Reading

• Enterprise data storage 2019 Products of the Year finalists

  The field of entrants in our 18th annual Products of the Year contest has been winnowed to 50 contenders vying for gold, silver and bronze glory in five data storage categories. Continue Reading

• Slowdown, cloud, as-a-service products top 2019 storage news

  Find out what storage industry news resonated with readers this year, including signs of a slowdown, cloud and consumption-based products, new storage arrays and technologies. Continue Reading

• Unstructured data storage showdown: Object storage vs. scale-out NAS

  Object storage and scale-out NAS are both highly scalable and built to handle large amounts of unstructured data. Which one is best suited for your environment? Continue Reading

• Predictive storage analytics and AI make storage smarter

  Intelligent storage is all the rage. Discover how predictive analytics for storage, AI and machine learning makes storage infrastructure more flexible and cost effective. Continue Reading

• Compliance analytics helps data storage meet PII standards

  Organizations are using predictive analytics and AI to sift through large data sets to ensure that any data stored is compliant with all personally identifiable information rules.Continue Reading

• What is the difference between RAM and cache memory?

  Cache memory and random access memory both place data closer to the processor to reduce latency in response times. Learn why cache memory can be the faster option.Continue Reading

• What's the role of metadata in unstructured data management?

  Discover how to expand your organization's use of metadata to improve the management and storage of unstructured data to make it more organized and accessible.Continue Reading

• How to optimize storage for AI, machine learning and deep learning

  AI and deep learning apps use large data sets and fast I/O. But storage can cause performance issues. See what features your AI and deep learning storage systems should have.Continue Reading

• Machine learning for data analytics can solve big data storage issues

  Discover how AI and machine learning -- with support from major vendors and technologies like Lambda architecture, FPGAs and containers -- address big data analytics challenges.Continue Reading

• Machine learning for data storage optimizes data analysis

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• The realities of unstructured data management revealed

  Managing and gleaning business value from unstructured data is of utmost importance to enterprises today. Our infographic outlines the challenges respondents face.Continue Reading

• Products of the Year judging criteria

  This article discusses how products are judged for the Storage Products of the Year awards.Continue Reading

• Get to know data storage containers and their terminology

  Looking into containerization? You're going to need these key terms to better understand the technology, how it works and which vendors are offering it.Continue Reading

• How HPE InfoSight AI proactively spots, solves infrastructure issues

  Find out how the cloud service uses AI, machine learning and predictive analytics to collect and analyze data from millions of sensors to address problems before they happen.Continue Reading